23 June 2003 Human face detection for automatic classification and annotation of personal photo collections
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Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502577
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
Abstract
The recent proliferation of digital images captured by digital cameras and, as a result, the users’ needs for automatic annotation tools to index huge multimedia databases arouse a renewed interest in face detection and recognition technologies. After a brief state-of-the-art, the paper details a model-based face detection algorithm for color images, based on skin color and face shape properties. We compare a stand-alone model-based approach with a hybrid approach in which this algorithm is used as a pre-processor to provide candidate faces to a supervised SVM classifier. Experimental results are presented and discussed on two databases of 250 and 689 pictures respectively. Application to a system to automatically annotate the photos of a personal collection is eventually discussed from the human factors point of view.
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Bertrand Chupeau, Vincent Tollu, Jurgen Stauder, Izabela Grasland, "Human face detection for automatic classification and annotation of personal photo collections", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502577; https://doi.org/10.1117/12.502577
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